129 search results - page 25 / 26 » Active learning with extremely sparse labeled examples |
81
Voted
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
We propose a method for learning using a set of feature representations which retrieve different amounts of information at different costs. The goal is to create a more efficient ...
101
Voted
MM
2004
ACM
15 years 3 months ago
2004
ACM
In this paper, we propose a novel transductive learning framework named manifold-ranking based image retrieval (MRBIR). Given a query image, MRBIR first makes use of a manifold ra...
78
Voted
EMNLP
2007
14 years 11 months ago
2007
In Sequential Viterbi Models, such as HMMs, MEMMs, and Linear Chain CRFs, the type of patterns over output sequences that can be learned by the model depend directly on the modelâ...
100
click to vote
EMNLP
2010
14 years 7 months ago
2010
We describe a model for the lexical analysis of Arabic text, using the lists of alternatives supplied by a broad-coverage morphological analyzer, SAMA, which include stable lemma ...
ARCS
2005
Springer
15 years 3 months ago
2005
Springer
We propose an active vision system for object acquisition. The core of our approach is a reinforcement learning module which learns a strategy to scan an object. The agent moves a...